{"id":"W3091742877","doi":"10.5194/egusphere-egu2020-7819","title":"Detecting Synoptic Patterns related to Freezing Rain in Montr&amp;#233;al using Deep Learning","year":2020,"lang":"en","type":"article","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos","funders":"","keywords":"Climate change; Climatology; Environmental science; Climate model; Freezing rain; Meteorology; Extreme value theory; General Circulation Model; Extreme weather; Geography; Oceanography; Geology; Mathematics; Precipitation; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003752645,0.0002888762,0.0002709003,0.001000336,0.0003459692,0.0006774289,0.0005677665,0.0004244061,0.002311001],"category_scores_gemma":[0.0009133065,0.0001638286,0.0005756853,0.0006625528,0.0002154162,0.0004692938,0.0005954499,0.0006176591,0.0004936551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007627041,"about_ca_system_score_gemma":0.000699946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06812045,"about_ca_topic_score_gemma":0.1289227,"domain_scores_codex":[0.9998564,0.00001785767,0.000009106099,0.00004322984,0.00003344662,0.00004000948],"domain_scores_gemma":[0.9997454,0.00004197478,0.00003938434,0.00003876372,0.00008515199,0.00004945814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009383981,0.0005445408,0.3164453,0.0002849614,0.0006663473,0.00123502,0.000630662,0.2641102,0.03404833,0.003902961,0.06156868,0.3156247],"study_design_scores_gemma":[0.00002561052,0.0000246875,0.07023809,0.00002464344,0.0000411656,0.00003701819,0.0001626677,0.9209872,0.002515317,0.001396058,0.00452428,0.00002327243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9214715,0.001169221,0.04499225,0.001818881,0.0003233552,0.00009665283,0.01147403,0.004498092,0.01415607],"genre_scores_gemma":[0.9728878,0.0001882161,0.01382959,0.0002397567,0.00009871608,0.0000261592,0.010367,0.00009593539,0.002266931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9318795,"threshold_uncertainty_score":0.1354479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03571562499706998,"score_gpt":0.2581167924127512,"score_spread":0.2224011674156812,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}